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2014 Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation
Huanqing Wang, Xiaoping Liu, Qi Zhou, Hamid Reza Karimi
Abstr. Appl. Anal. 2014: 1-10 (2014). DOI: 10.1155/2014/462468

Abstract

The problem of fuzzy-based direct adaptive tracking control is considered for a class of pure-feedback stochastic nonlinear systems. During the controller design, fuzzy logic systems are used to approximate the packaged unknown nonlinearities, and then a novel direct adaptive controller is constructed via backstepping technique. It is shown that the proposed controller guarantees that all the signals in the closed-loop system are bounded in probability and the tracking error eventually converges to a small neighborhood around the origin in the sense of mean quartic value. The main advantages lie in that the proposed controller structure is simpler and only one adaptive parameter needs to be updated online. Simulation results are used to illustrate the effectiveness of the proposed approach.

Citation

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Huanqing Wang. Xiaoping Liu. Qi Zhou. Hamid Reza Karimi. "Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation." Abstr. Appl. Anal. 2014 1 - 10, 2014. https://doi.org/10.1155/2014/462468

Information

Published: 2014
First available in Project Euclid: 2 October 2014

zbMATH: 07022425
MathSciNet: MR3170405
Digital Object Identifier: 10.1155/2014/462468

Rights: Copyright © 2014 Hindawi

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